Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A9D25371E294363B41A7D2CDB320672EB2D3828EDA9A191563FD439D0FD7E10DD6342A |
|
CONTENT
ssdeep
|
768:oe/G6Lfr6vwsVZYR318rfALXMG2c2s/abIpMylB2euLx5Q7sOy2+y9BH4crIe:Ak7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d272bc3a8969c5c9 |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
9c0cc0c0c9cdef00 |
|
VISUAL
wHash
|
00c4f0603507ffff |
|
VISUAL
colorHash
|
39000c000c0 |
|
VISUAL
cropResistant
|
0080800458988000,9c0cccc0c8cdcdcf |
Victim enters username and password into fake login form. Credentials are captured via JavaScript and exfiltrated to attacker's server in real-time.
Malicious code is obfuscated using 8 techniques to evade detection by security scanners and make reverse engineering more difficult.